Prediction of agricultural drought index in a hot and dry climate using advanced hybrid machine learning

Prediction of agricultural drought index in a hot and dry climate using advanced hybrid machine learning

Drought monitoring and forecasting are essential for efficient water resources management. The present research aims to provide a reliable prediction of the effective Reconnaissance Drought Index (eRDI) based on seven evaporation stations in the southern Baluchestan sub-basin of Iran. To achieve thi...

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Bibliographic Details
Main Authors:	Mohsen Rezaei, Mehdi Azhdary Moghaddam, Gholamreza Azizyan, Ali Akbar Shamsipour
Format:	Article
Language:	English
Published:	Elsevier 2024-05-01
Series:	Ain Shams Engineering Journal
Subjects:	Drought Index Marine Predators Algorithm (MPA) Adaptive neuro-fuzzy inference system (ANFIS) Artificial neural network (ANN) Support vector regression (SVR) Baluchestan
Online Access:	http://www.sciencedirect.com/science/article/pii/S2090447924000613

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